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Open-Neural-Substrate: Instructions file for Claude Code

CLAUDE.md

Open-Neural-Substrate CLAUDE.md is an instructions file for Claude Code from pedroknigge/Open-Neural-Substrate. It costs 2,228 tokens per session, scanned A, original, MIT.

Project instructions for Claude Code, describing Open Neural Substrate, a local knowledge service that stores connected records and can be queried by software.

In plain words
What is it for?
Use them when working on Open Neural Substrate, including its SQLite database, local API, integrations, and background knowledge-processing service.
Why use it?
They give the coding agent the project’s architecture, technology choices, and design rules so its changes fit the existing system.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

This is pedroknigge/Open-Neural-Substrate's own configuration. It tells Claude Code how to work on Open-Neural-Substrate itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Open-Neural-Substrate configures →

not rated 0repo 7mo ago A scan 2,228 tokens original MIT
View source ↗ pedroknigge/Open-Neural-Substrate localhost
Reuse

Borrowing it

Nothing to install: this file belongs to pedroknigge/Open-Neural-Substrate. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/pedroknigge/Open-Neural-Substrate/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/pedroknigge/Open-Neural-Substrate

Made for: Claude Code.

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Per session 2,228 This file is loaded in full into every session.
When invoked 2,228 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.02228 $0.02228
Opus 5.5 $0.00891 $0.00891
Sonnet 5.5 $0.00446 $0.00446
Haiku 4.5 $0.00223 $0.00223

Measured 2mo ago against content hash 1896c957c94c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Open-Neural-Substrate CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Instructions for Claude Code

What This Project Is

Open Neural Substrate (ONS) — a persistent local knowledge service that acts as a second brain. It stores information as "neurons" (structured JSON records with Markdown content, embedding vectors, and weighted connections). Any software — Claude, Codex, GPT, scripts, automations — queries and updates it via a local API on port 52830.

This is NOT a notes app. It is a living knowledge graph with adaptive connections and background consolidation (like biological sleep).

Architecture Summary

  • Database: SQLite + sqlite-vec extension. Three tables: neurons, edges, embeddings.
  • Server: FastAPI on localhost:52830. Four core endpoints: /query, /upsert, /rewire, /delete/{id}.
  • Integrations: MCP server wrapper for Claude, OpenAI-compatible tool schema for GPT/Codex, plain HTTP for everything else.
  • Consolidation: Background process that runs during idle (30min no activity). Four passes: replay/strengthen, cluster/propose, decay/prune, re-embed stale.
  • Embedder: Pluggable. Default: local sentence-transformers model. Fallback: OpenAI/Anthropic API.
  • Persistence: Runs as systemd user service (Linux), LaunchAgent (macOS). Starts at login, always available.

Key Design Rules

  1. Neurons are the atomic unit. Every piece of knowledge is one neuron. No separate tables for customers vs tasks vs notes — they're all neurons with a type field.
  2. Edges are first-class. Connections live in their own table, NOT embedded in neuron JSON. A neuron can have thousands of connections without bloating its own record.
  3. Embeddings are model-agnostic. Stored per-model in a separate table. When a new model queries, embed on demand and cache. No lock-in.
  4. All writes are local. Editing one neuron never cascades. No global reindexing on single edits.
  5. Soft deletes only. deleted flag + version history. Nothing is permanently lost.
  6. LLM writes require guardrails. LLM-proposed changes are logged with created_by: "llm" and can require human approval.
  7. Consolidation is separate. The sleep cycle is a distinct module that reads interaction logs and proposes changes.

Read the full file on GitHub · 172 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 172 lines · 2,228 tokens per session scan A 1896c957c94c

Subscribe to this mod's changes

Open-Neural-Substrate CLAUDE.md is an instructions file published in the GitHub repository pedroknigge/Open-Neural-Substrate (0 stars, last pushed 7mo ago), licensed MIT. It adds 2,228 tokens to every session, about $0.0089 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

embeddingsfastapiknowledge-graphlocal-firstmcpsecond-brain
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